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Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method.
Chengwei Wu
Hongyi Li
Hak-Keung Lam
Hamid Reza Karimi
Published in:
Neurocomputing (2016)
Keyphrases
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fuzzy model
fault detection
data mining
artificial neural networks
fuzzy rules
initial values
control system
clustering method
fault diagnosis
industrial processes